This dataset contains phenotypic evaluation data of extra short duration Pigeonpea experimental hybrid trial for year 2015-16. Research work was conducted at ICRISAT Center, Patancheru (17°30'20.1"N 78°16'48.5"E). Pigeonpea is a very important grain legume crop for food and other uses in Asia and Africa. It is often cross-pollinated species with a diploid number of 2n= 2x22 and genome size of 858Mbp. Every year 50 to 100 and above new crosses (and also CMS hybrids) will be made evaluated in nurseries to develop new high yielding cultivars with adaptability to different climatic/agronomic zones. Based on their agronomic performance in nurseries for maturity time, branching pattern and number of branches, pod color, pod yield and other pest and diseases tolerance characters etc, the superior progenies will be selected and advanced to further generations. The progenies selected based on preliminary/nursery data will be evaluated along with controls in replicated (twice or thrice) trials every year for further agronomic evaluation and selection. The agronomic data (days to 50% flowering and/or maturity, plant height, grain yield, grain size and color etc) of the progenies evaluated presented herewith. This data helps us to select and advance further. Finally the few best progenies among them will be evaluated in on-farm trials (OFTs) and in multi-location trials. The best performed progenies will be considered to promote/release in respective agronomic zones.

This dataset contains phenotypic evaluation data of extra short duration Pigeonpea experimental hybrid trial for year 2015-16. Research work was conducted at ICRISAT Center, Patancheru (17°30'20.1"N 78°16'48.5"E). Pigeonpea is a very important grain legume crop for food and other uses in Asia and Africa. It is often cross-pollinated species with a diploid number of 2n= 2x22 and genome size of 858Mbp. Every year 50 to 100 and above new crosses (and also CMS hybrids) will be made evaluated in nurseries to develop new high yielding cultivars with adaptability to different climatic/agronomic zones. Based on their agronomic performance in nurseries for maturity time, branching pattern and number of branches, pod color, pod yield and other pest and diseases tolerance characters etc, the superior progenies will be selected and advanced to further generations. The progenies selected based on preliminary/nursery data will be evaluated along with controls in replicated (twice or thrice) trials every year for further agronomic evaluation and selection. The agronomic data (days to 50% flowering and/or maturity, plant height, grain yield, grain size and color etc) of the progenies evaluated presented herewith. This data helps us to select and advance further. Finally the few best progenies among them will be evaluated in on-farm trials (OFTs) and in multi-location trials. The best performed progenies will be considered to promote/release in respective agronomic zones.

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These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation. Disclaimer Whilst utmost care has been taken by ICRISAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, ICRISAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. By using the ICRISAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.

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Terms of Use

These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation. Disclaimer Whilst utmost care has been taken by ICRISAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, ICRISAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. By using the ICRISAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.